DataOps is a methodology and culture shift that brings the successful combination of development and operations (DevOps) to data processing environments. It breaks down silos between developers, data scientists, and operators, resulting in lean data feature development processes with quick feedback. In this presentation, we will explain the methodology, and focus on practical aspects of DataOps.
- You will learn how DataOps differs from traditional data processing methodologies, as well as from DevOps
- You will learn key concepts and process elements that make DataOps work at scale
- In order to make the DataOps concept concrete, we will share practical examples of day-to-day development and operational workflows